Ke Kumulani II
Preliminary Information – Full Audit Pending
This buildings features were determined from publicly available data, including MLS listings. While we cross-referenced additional data sources, it still likely contains incomplete or inaccurate information, as it has not yet been personally verified.
Once a building has been fully audited, this page will be replaced with an in-depth analysis featuring verified details and photos of every key feature.
Until then, we provide a data‑driven overview that blends statistical analysis of the checkbox selections agents make in MLS with an AI‑powered read of their public remarks—yielding a clearer picture of the building than raw listings alone.
If this building is important to your search, you can help prioritize it for a full audit by requesting one below. To see what a complete report looks like, check out the example full report.
Ke Kumulani II
Building Overview
Ke Kumulani II in Aiea (built 1984). Based on MLS data: no pets and no short-term rentals allowed.
About Ke Kumulani II
Based on MLS data, Ke Kumulani II is located in the Aiea neighborhood and was built in 1984. Size, unit mix, and construction type are not specified in the available MLS records.
According to available records, building policies include no pets and no short-term rentals. The MLS data does not list specific on-site amenities, common areas, or utility arrangements, and the management company is shown as unknown.
Additional details commonly of interest to buyers—such as parking availability, maintenance fees, assessments, and HOA rules—are not provided in the MLS excerpt used for this summary. Buyers should verify all building specifics, rules, and financials with the listing agent or managing entity before making decisions.
Building Features & Data Confidence
All features from MLS data with AI-assisted confidence analysis. Click each category to expand and see details.
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Calculated from the lowest association fee observed across all non-penthouse unit listings for this building.
Calculated from the highest association fee observed across all non-penthouse unit listings for this building.
Calculated from association fees observed in penthouse unit listings for this building.
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No current listing remarks mention hot water being included in the maintenance fee. The MLS data instead shows WTRHTR in inclusions, which strongly suggests the unit has its own water heater rather than building-provided hot water, so this feature should be treated as absent.
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1 of 1 current listing(s) indicates washer/dryer in the inclusions, which strongly suggests in-unit laundry is available. The public remarks do not explicitly mention laundry, so this is based on MLS inclusions rather than remark confirmation.
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1 listing explicitly mentions covered parking via a "2-car garage." This is direct, strong evidence that the building offers covered parking. The wording is specific and not just a generic MLS checkbox, so confidence is very high.
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Split AC is clearly supported. The current remarks explicitly state "split air conditioning throughout," and the MLS inclusions checkbox also shows ACSPL. This looks like consistent evidence rather than copy-paste noise.
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No current listing remarks mention "double wall," "double-wall," or any equivalent construction description. Because the public description is silent on construction type, the MLS checkbox does not appear independently verified.
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No current listing remarks mention "wood frame" or similar construction language. With only unchecked-in-text MLS data and no corroborating remarks, this looks like an unverified checkbox rather than confirmed building construction.
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Flood zone determined from official FEMA Digital Flood Insurance Rate Map (DFIRM) data using building coordinates, not from agent-reported listing data.
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No evidence of sunset views appears in the available listings. The MLS view field is explicitly set to NONE in the current data, and the remarks only describe the home’s layout, location, and split A/C without any view-related claims.
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Confidence levels are based on MLS checkbox data and AI analysis of listing remarks. High = strong evidence, Medium = some evidence, Low = limited or conflicting evidence. Buyers should always verify critical details independently.